Spectral AI (MDAI) Other Operating Expenses (2022 - 2026)
Spectral AI's Other Operating Expenses came in at $653,000 for Q2 2026, up 92.1% from $340,000 a year earlier.
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Analysis
Spectral AI (MDAI) Other Operating Expenses (2022 - 2026) Analysis & Trends
For FY2024, Spectral AI's Other Operating Expenses was $4.9 million, down 7.5% from FY2023.
- Going back by year, Other Operating Expenses was $5.3 million in FY2023 (+165.0%) and $2 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Other Operating Expenses since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn |
| 10 | Spectral AI | 48.76 Mn | -2.84 Mn | 1.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 653,000.00 |
| Jun 30, 2025 | 340,000.00 |
| Dec 31, 2024 | -400,000.00 |
| Sep 30, 2024 | 700,000.00 |
| Jun 30, 2024 | 1.20 Mn |
| Mar 31, 2024 | 3.40 Mn |
| Dec 31, 2023 | -400,000.00 |
| Sep 30, 2023 | 1.60 Mn |
| Jun 30, 2023 | 1.20 Mn |
| Mar 31, 2023 | 2.90 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 500,000.00 |
API Access
Spectral AI Other Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=MDAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "MDAI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=MDAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();